Justin Visser
c1201caf11
DefaultConfig now describes a more realistic world: a moderately novel fake (novelty 0.3), some ambient harm awareness (0.2), and a strong but imperfect education program (programEffect 0.8) so educated students mostly, not always, refuse. The headline shifts from 99/70/7 (a perfect program) to 100/83/21 out of 120 (83/69/18 percent): no program >> random >> most-connected still holds, targeting still wins by ~4x, but the program is no longer a perfect wall. Golden values re-pinned in the engine and API tests; the preset base matches. The forward-chance formula test now neutralises its baseline so it pins the formula, not the tuned defaults.
73 lines
2.4 KiB
Go
73 lines
2.4 KiB
Go
package engine
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import "testing"
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// ForwardChance is the additive composite the whole model rests on. These
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// pin the formula's shape (which lever pushes which way, the clamp, and how
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// the program scales an educated student) in terms of the weight constants,
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// so tuning the weights later does not silently break the relationships.
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func TestForwardChance(t *testing.T) {
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// A neutral baseline (the tuned DefaultConfig now carries novelty, harm
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// awareness and a soft program); these assertions pin the formula's
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// shape, not the default values.
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base := DefaultConfig()
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base.Novelty = 0
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base.HarmAwareness = 0
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base.ProgramEffect = 1
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t.Run("default not educated is the baseline", func(t *testing.T) {
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if got := base.ForwardChance(false); got != base.ForwardProb {
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t.Errorf("ForwardChance(false) = %v, want baseline %v", got, base.ForwardProb)
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}
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})
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t.Run("default educated never forwards under a full program", func(t *testing.T) {
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if got := base.ForwardChance(true); got != 0 {
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t.Errorf("ForwardChance(true) = %v, want 0 (programEffect 1)", got)
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}
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})
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t.Run("novelty raises forwarding", func(t *testing.T) {
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config := base
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config.Novelty = 1
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want := base.ForwardProb + noveltyWeight
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if got := config.ForwardChance(false); got != want {
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t.Errorf("ForwardChance = %v, want %v", got, want)
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}
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})
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t.Run("harm awareness lowers forwarding", func(t *testing.T) {
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config := base
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config.HarmAwareness = 0.5
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want := base.ForwardProb - harmAwarenessWeight*0.5
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if got := config.ForwardChance(false); got != want {
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t.Errorf("ForwardChance = %v, want %v", got, want)
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}
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})
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t.Run("clamps to zero", func(t *testing.T) {
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config := base
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config.HarmAwareness = 1 // 0.38 - 0.40 < 0
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if got := config.ForwardChance(false); got != 0 {
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t.Errorf("ForwardChance = %v, want clamped 0", got)
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}
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})
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t.Run("clamps to the ceiling", func(t *testing.T) {
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config := base
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config.ForwardProb = 0.9
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config.Novelty = 1 // 0.9 + 0.30 > 0.95
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if got := config.ForwardChance(false); got != maxForwardChance {
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t.Errorf("ForwardChance = %v, want clamped %v", got, maxForwardChance)
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}
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})
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t.Run("a softer program leaves some forwarding", func(t *testing.T) {
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config := base
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config.ProgramEffect = 0.5
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want := base.ForwardProb * 0.5
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if got := config.ForwardChance(true); got != want {
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t.Errorf("ForwardChance(true) = %v, want %v", got, want)
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}
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})
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}
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